Saisai Sun

813 total citations
14 papers, 500 citations indexed

About

Saisai Sun is a scholar working on Molecular Biology, Ecology and Signal Processing. According to data from OpenAlex, Saisai Sun has authored 14 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Ecology and 2 papers in Signal Processing. Recurrent topics in Saisai Sun's work include RNA and protein synthesis mechanisms (6 papers), RNA modifications and cancer (3 papers) and Machine Learning in Bioinformatics (3 papers). Saisai Sun is often cited by papers focused on RNA and protein synthesis mechanisms (6 papers), RNA modifications and cancer (3 papers) and Machine Learning in Bioinformatics (3 papers). Saisai Sun collaborates with scholars based in China, United States and Canada. Saisai Sun's co-authors include Jianyi Yang, Vijay S. Pande, Bharath Ramsundar, Yang Li, Zhenqin Wu, Evan N. Feinberg, Brooke E. Husic, Zhenling Peng, Mengchen Liu and Hong Su and has published in prestigious journals such as Bioinformatics, The Science of The Total Environment and IEEE Access.

In The Last Decade

Saisai Sun

12 papers receiving 494 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Saisai Sun China 9 370 292 176 36 26 14 500
Panagiotis-Christos Kotsias Sweden 3 248 0.7× 345 1.2× 271 1.5× 32 0.9× 18 0.7× 4 420
Sebastian Rohrer Germany 7 260 0.7× 285 1.0× 131 0.7× 61 1.7× 41 1.6× 7 391
Maciej Wójcikowski Poland 6 468 1.3× 462 1.6× 168 1.0× 78 2.2× 38 1.5× 6 602
Jens A. Fuchs Switzerland 6 214 0.6× 268 0.9× 192 1.1× 20 0.6× 17 0.7× 9 368
Sybilla Corbett United Kingdom 3 271 0.7× 261 0.9× 82 0.5× 36 1.0× 41 1.6× 5 486
Yehor S. Malets Ukraine 2 281 0.8× 244 0.8× 88 0.5× 36 1.0× 47 1.8× 4 403
Boris Sattarov Russia 4 199 0.5× 277 0.9× 195 1.1× 27 0.8× 16 0.6× 5 316
Seongok Ryu South Korea 6 253 0.7× 295 1.0× 204 1.2× 29 0.8× 12 0.5× 9 428
Oleksii Prykhodko Sweden 2 277 0.7× 388 1.3× 315 1.8× 26 0.7× 16 0.6× 2 482
Tevfik Kizilören United Kingdom 3 264 0.7× 267 0.9× 81 0.5× 37 1.0× 40 1.5× 5 490

Countries citing papers authored by Saisai Sun

Since Specialization
Citations

This map shows the geographic impact of Saisai Sun's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Saisai Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saisai Sun more than expected).

Fields of papers citing papers by Saisai Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Saisai Sun. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Saisai Sun. The network helps show where Saisai Sun may publish in the future.

Co-authorship network of co-authors of Saisai Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Saisai Sun. A scholar is included among the top collaborators of Saisai Sun based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Saisai Sun. Saisai Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
2.
Zhou, Chen, et al.. (2025). An ensemble learning framework for generating high-resolution regional DEMs considering geographical zoning. ISPRS Journal of Photogrammetry and Remote Sensing. 221. 363–383.
3.
Wei, Hang, et al.. (2025). IDP-EDL: enhancing intrinsically disordered protein prediction by combining protein language model and ensemble deep learning. Briefings in Bioinformatics. 26(2). 1 indexed citations
4.
Sun, Saisai & Lin Gao. (2024). Contrastive pre-training and 3D convolution neural network for RNA and small molecule binding affinity prediction. Bioinformatics. 40(4). 15 indexed citations
5.
Zhang, Ting, Bo Tian, Yujue Wang, et al.. (2021). Quantifying seasonal variations in microphytobenthos biomass on estuarine tidal flats using Sentinel-1/2 data. The Science of The Total Environment. 777. 146051–146051. 10 indexed citations
6.
Sun, Saisai, Jianyi Yang, & Zhaolei Zhang. (2021). RNALigands: a database and web server for RNA–ligand interactions. RNA. 28(2). 115–122. 22 indexed citations
7.
Zhang, Ping, et al.. (2021). A Novel Deep Learning Model for Palmprint/Palmvein Recognition. IEEE Access. 9. 122847–122854. 1 indexed citations
8.
Sun, Saisai, et al.. (2021). Palm Vein Recognition Based on NPE and KELM. IEEE Access. 9. 71778–71783. 8 indexed citations
9.
Sun, Saisai, Wenkai Wang, Zhenling Peng, & Jianyi Yang. (2020). RNA inter-nucleotide 3D closeness prediction by deep residual neural networks. Bioinformatics. 37(8). 1093–1098. 21 indexed citations
10.
Sun, Saisai, et al.. (2019). Dynamic and Static Load Tests on a Large-span Rigid-frame Bridge. Mathematical Modelling and Engineering Problems. 6(3). 409–414. 4 indexed citations
11.
Deng, Wei, Saisai Sun, Chunyan Yu, et al.. (2019). A Strategy for the Synthesis of Sulfonamides on DNA. Organic Letters. 21(24). 9909–9913. 23 indexed citations
12.
Sun, Saisai, Qi Wu, Zhenling Peng, & Jianyi Yang. (2018). Enhanced prediction of RNA solvent accessibility with long short-term memory neural networks and improved sequence profiles. Bioinformatics. 35(10). 1686–1691. 27 indexed citations
13.
Feinberg, Evan N., Zhenqin Wu, Brooke E. Husic, et al.. (2018). PotentialNet for Molecular Property Prediction. ACS Central Science. 4(11). 1520–1530. 298 indexed citations
14.
Su, Hong, Mengchen Liu, Saisai Sun, Zhenling Peng, & Jianyi Yang. (2018). Improving the prediction of protein–nucleic acids binding residues via multiple sequence profiles and the consensus of complementary methods. Bioinformatics. 35(6). 930–936. 70 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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